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Q28. Which of the following is the appropriate conclusion based on the results of the test? Pearson's Chi-squared test data: . Table X-squared = 13.095, df = 3, p-value A client's satisfaction rating is linearly dependent on their sex. O There is sufficient evidence that there is an association between a client's sex and satisfaction rating. 0.004435 O There is no sufficient evidence that there is an association between a client's sex and satisfaction rating. A client's satisfaction rating is not linearly dependent on their sex.

Q28. Which of the following is the appropriate conclusion based on the results of the test? Pearson's Chi-squared test data: . Table X-squared = 13.095, df = 3, p-value A client's satisfaction rating is linearly dependent on their sex. O There is sufficient evidence that there is an association between a client's sex and satisfaction rating. 0.004435 O There is no sufficient evidence that there is an association between a client's sex and satisfaction rating. A client's satisfaction rating is not linearly dependent on their sex.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Q28. Which of the following is the appropriate conclusion based on the results of the test? Pearson's Chi-squared test data: X-squared 13.095, df . Table = 3, p-value = 0.004435 A client's satisfaction rating is linearly dependent on their sex. O There is sufficient evidence that there is an association between a client's sex and satisfaction rating. O There is no sufficient evidence that there is an association between a client's sex and satisfaction rating. A client's satisfaction rating is not linearly dependent on their sex. Q29. Given the Cramer's V coefficient equal to 0.7237, which of the following is TRUE? O There is a positive linear relationship between a client's sex and their satisfaction rating. O The satisfaction rating of a client is expected to be 0.7237 higher if the client is a female. The average satisfaction rating of clients is 0.7237 There is a strong association between a client's sex and their satisfaction rating. Q30. Which of the following is TRUE? O Pearson's correlation coefficient can be used for two categorical variables. O The effect of a variable to another variable can be measured by a correlation coefficient. O A positive correlation coefficient between x and y means that as the value of x decreases, the value of y also decreases. A Pearson's correlation coefficient equal to zero means that there is no association between the two variables.
Transcribed Image Text:Q28. Which of the following is the appropriate conclusion based on the results of the test? Pearson's Chi-squared test data: X-squared 13.095, df . Table = 3, p-value = 0.004435 A client's satisfaction rating is linearly dependent on their sex. O There is sufficient evidence that there is an association between a client's sex and satisfaction rating. O There is no sufficient evidence that there is an association between a client's sex and satisfaction rating. A client's satisfaction rating is not linearly dependent on their sex. Q29. Given the Cramer's V coefficient equal to 0.7237, which of the following is TRUE? O There is a positive linear relationship between a client's sex and their satisfaction rating. O The satisfaction rating of a client is expected to be 0.7237 higher if the client is a female. The average satisfaction rating of clients is 0.7237 There is a strong association between a client's sex and their satisfaction rating. Q30. Which of the following is TRUE? O Pearson's correlation coefficient can be used for two categorical variables. O The effect of a variable to another variable can be measured by a correlation coefficient. O A positive correlation coefficient between x and y means that as the value of x decreases, the value of y also decreases. A Pearson's correlation coefficient equal to zero means that there is no association between the two variables.
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